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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 13725
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    Explanations

    specifications and metrics related to vehicle performance and power

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     involve
    -0.31
     cost
    -0.31
     mask
    -0.30
    <h4>
    -0.28
    mask
    -0.28
     age
    -0.28
     “
    -0.28
    replace
    -0.28
     Umständen
    -0.27
     >=",
    -0.27
    POSITIVE LOGITS
     kasarigan
    0.73
    BeginContext
    0.73
     ModelExpression
    0.70
     ब्रेकडाउन
    0.67
     horsepower
    0.66
     PrintWriter
    0.63
    حياته
    0.63
     $_"
    0.62
    BibitemShut
    0.62
     فريبيس
    0.61
    Activations Density 0.221%

    No Known Activations